What is the classification report in machine learning? We can use the classification_report() function to calculate the classification report of a classification problem using the sklearn library in Python. The classification report outputs the precision, recall,...
What is an ROC Curve? An ROC curve plots the True Positive Rate (TPR) vs. the False Positive Rate (FPR) at various classification thresholds. Before we understand the ROC curve clearly, let’s try to understand a few terms. Let’s say the expected or actual output for a...
What is the ElasticNet regression? In our previous articles, we discussed Ridge regression and Lasso regression. Lasso regression gives a good performance, but it has some disadvantages. They are: If the number of variables is more than the number of observations,...
We can evaluate the performance of an algorithm of a classification problem using the logistic loss function. The logistic loss of a classification algorithm is given by the following formula: $latex Log\ Loss=\frac{-1}{N}\sum_{i=1}^{N}[y_i\log p_i+(1-y_i)\log...
In the repeated random train-test split or shuffle split, the dataset is split into a certain number of folds. Each fold is divided into train and test sets. The machine learning model then uses the train test to learn from the dataset and uses the test set to...
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